000 01902 a2200589 4500
005 20250516105137.0
264 0 _c20130419
008 201304s 0 0 eng d
022 _a1098-2272
024 7 _a10.1002/gepi.21600
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aNewcombe, Paul J
245 0 0 _aA comparison of Bayesian and frequentist approaches to incorporating external information for the prediction of prostate cancer risk.
_h[electronic resource]
260 _bGenetic epidemiology
_cJan 2012
300 _a71-83 p.
_bdigital
500 _aPublication Type: Comparative Study; Journal Article; Research Support, N.I.H., Extramural
650 0 4 _aAged
650 0 4 _aAlgorithms
650 0 4 _aArea Under Curve
650 0 4 _aBayes Theorem
650 0 4 _aCalibration
650 0 4 _aGenetic Predisposition to Disease
650 0 4 _aGenome-Wide Association Study
650 0 4 _aHumans
650 0 4 _aLogistic Models
650 0 4 _aMale
650 0 4 _aMiddle Aged
650 0 4 _aModels, Genetic
650 0 4 _aModels, Statistical
650 0 4 _aPolymorphism, Single Nucleotide
650 0 4 _aProstatic Neoplasms
_xgenetics
650 0 4 _aROC Curve
650 0 4 _aRandomized Controlled Trials as Topic
650 0 4 _aWhite People
_xgenetics
700 1 _aReck, Brian H
700 1 _aSun, Jielin
700 1 _aPlatek, Greg T
700 1 _aVerzilli, Claudio
700 1 _aKader, A Karim
700 1 _aKim, Seong-Tae
700 1 _aHsu, Fang-Chi
700 1 _aZhang, Zheng
700 1 _aZheng, S Lilly
700 1 _aMooser, Vincent E
700 1 _aCondreay, Lynn D
700 1 _aSpraggs, Colin F
700 1 _aWhittaker, John C
700 1 _aRittmaster, Roger S
700 1 _aXu, Jianfeng
773 0 _tGenetic epidemiology
_gvol. 36
_gno. 1
_gp. 71-83
856 4 0 _uhttps://doi.org/10.1002/gepi.21600
_zAvailable from publisher's website
999 _c22023031
_d22023031